Ulrich Aïvodji

École de Technologie Supérieure — Canada

Computer Science · Physical Sciences

11h-index480citations44works0.52yr avg
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Research Topics

Adversarial Robustness in Machine Learning(21), Explainable Artificial Intelligence (XAI)(17), Ethics and Social Impacts of AI(15), Privacy-Preserving Technologies in Data(10), Transportation and Mobility Innovations(6)

Publications44 total

Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation
ArXiv.org·2025Open Access
Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation
arXiv (Cornell University)·2025Open Access
Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning
Computational Intelligence·2025· 1 citedOpen Access
Towards Fair In-Context Learning with Tabular Foundation Models
arXiv (Cornell University)·2025· 2 citedOpen Access
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
arXiv (Cornell University)·2025Open Access
Adaptive Group Robust Ensemble Knowledge Distillation
arXiv (Cornell University)·2024Open Access
Probabilistic Dataset Reconstruction from Interpretable Models
2024· 1 citedOpen Access
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
arXiv (Cornell University)·2024Open Access
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
arXiv (Cornell University)·2023· 2 citedOpen Access
Probabilistic Dataset Reconstruction from Interpretable Models
arXiv (Cornell University)·2023· 1 citedOpen Access
Fairness Under Demographic Scarce Regime
arXiv (Cornell University)·2023· 1 citedOpen Access
Exploiter l'équité d'un modèle d'apprentissage pour reconstruire les attributs sensibles de son ensemble d'entraînement
HAL (Le Centre pour la Communication Scientifique Directe)·2023Open Access
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods
arXiv (Cornell University)·2023· 5 citedOpen Access
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
2023· 9 citedOpen Access
Block-FeST: A Blockchain-Based Federated Anomaly Detection framework with computation offloading using Transformers
2022· 10 cited
ML-Based Performance Modeling in SDN-Enabled Data Center Networks
IEEE Transactions on Network and Service Management·2022· 16 citedOpen Access
Fairness via Explanation Quality
2022· 42 citedOpen Access
Improving fairness generalization through a sample-robust optimization method
Machine Learning·2022· 14 citedOpen Access
Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access
Fool SHAP with Stealthily Biased Sampling
arXiv (Cornell University)·2022· 3 citedOpen Access
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Frequent Co-authors

Sébastien Gambs(26), Marie‐José Huguet(16), Julien Ferry(15), Mohamed Siala(12), Alain Tapp(4), Marc‐Olivier Killijian(3), Hiromi Arai(3), Satoshi Hara(3), François Bidet(3), Rosin Claude Ngueveu(3), Patrik Joslin Kenfack(3), Samira Ebrahimi Kahou(3), Rushabh Solanki(3), Elliot Creager(3), Timon Ther(2), Yann Labit(2), Marc De Bruyère(2), Simone Ferlin(2), Gabriel Laberge(2), Lena Libon(2)